Efficiency of weak greedy algorithms for m-term approximations

We investigate the efficiency of weak greedy algorithms for m-term expansional approximation with respect to quasi-greedy bases in general Banach spaces.We estimate the corresponding Lebesgue constants for the weak thresholding greedy algorithm(WTGA) and weak Chebyshev thresholding greedy algorithm....

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Veröffentlicht in:Science China. Mathematics Jg. 59; H. 4; S. 697 - 714
Hauptverfasser: Ye, PeiXin, Wei, XiuJie
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Beijing Science China Press 01.04.2016
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ISSN:1674-7283, 1869-1862
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Zusammenfassung:We investigate the efficiency of weak greedy algorithms for m-term expansional approximation with respect to quasi-greedy bases in general Banach spaces.We estimate the corresponding Lebesgue constants for the weak thresholding greedy algorithm(WTGA) and weak Chebyshev thresholding greedy algorithm.Then we discuss the greedy approximation on some function classes.For some sparse classes induced by uniformly bounded quasi-greedy bases of L_p,12 the WCGA is better than the TGA.
Bibliographie:m-term approximation Lebesgue constants weak thresholding greedy algorithm weak Chebyshev greedy algorithm quasi-greedy bases
We investigate the efficiency of weak greedy algorithms for m-term expansional approximation with respect to quasi-greedy bases in general Banach spaces.We estimate the corresponding Lebesgue constants for the weak thresholding greedy algorithm(WTGA) and weak Chebyshev thresholding greedy algorithm.Then we discuss the greedy approximation on some function classes.For some sparse classes induced by uniformly bounded quasi-greedy bases of L_p,12 the WCGA is better than the TGA.
11-5837/O1
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ISSN:1674-7283
1869-1862
DOI:10.1007/s11425-015-5106-1